Data science

In this Data Science class, students will learn the complete Data Science workflow—from understanding raw data to building intelligent models. The course covers Python programming fundamentals, :

• data collection,
• data cleaning,
• data preprocessing,
• exploratory data analysis (EDA),
• and data visualization. 

They will work with libraries like Pandas (software), NumPy, Matplotlib, and Scikit-learn to analyze and visualize data effectively. The class also introduces machine learning concepts such as regression, classification, clustering, model training, testing, and performance evaluation.

Students will gain hands-on experience with real-world datasets, build mini-projects, and learn how to make data-driven decisions. By the end of the course, they will be able to clean data, create visual reports, build predictive models, and understand how Data Science is applied in business, healthcare, finance, and AI applications.